Content collection navigation and autoforwarding

ABSTRACT

Systems and methods for communicating and displaying collections of image and video clip content are described. In one example embodiment, a device receives interface information about a group of content collections from a server computer system. When a user inputs a selection of a first content collection, the device displays images and video clips in a sequence defined by the content collection. Each piece of content (e.g. image or video clip) is displayed for less than a threshold display time. When the device finishes playing the first content collection, the device automatically begins playing a next content collection. Additional content collections generated from content submitted by other client devices can be received from the server computer system, with autoforward play of additional content collections continuing indefinitely. Some embodiments include content collections generated by the server computer system, as well as advertising elements or other system images presented between content collections.

PRIORITY

This application is a continuation of U.S. application Ser. No.16/356,765, filed Mar. 18, 2019, which application is a continuation ofand claims the benefit of priority of U.S. patent application Ser. No.15/083,976, filed on Mar. 29, 2016, now issued as U.S. Pat. No.10,270,839, which are hereby incorporated by reference herein in theirentirety.

BACKGROUND

Content such as news stories or other collections of live or recentcontent have traditionally been presented to consumers in a heavilycontrolled and curated format. Early formats for news presentationincluded newspapers and magazines. Later formats included broadcastradio and television news. Traditional media and news sources for timesensitive content are typically heavily associated with corporations orwell-known persons that gather and present information about currentevents and happenings. In the modern Internet era, many such newssources have fragmented, but core aspects of information gathering andpresentation often remain associated with professionals gathering andsharing information in a way that is tied to an individual identity.While such practices have been able to support some news structures withvaluable analysis, the process for generating stories where selectprofessionals filter information and generate stories is time consumingand introduces significant delay between an event occurring andpresentation of information to a news consumer.

BRIEF DESCRIPTION OF THE DRAWINGS

Various ones of the appended drawings merely illustrate exampleembodiments of the present disclosure and should not be considered aslimiting its scope.

FIG. 1 is a block diagram illustrating a networked system that may beused to implement some example embodiments.

FIG. 2A illustrates aspects of server system operation receiving contentfor different geographic areas, in accordance with certain exampleembodiments.

FIG. 2B illustrates aspects of server system operation distributingdifferent content collection in accordance with certain exampleembodiments.

FIG. 3A illustrates an example user interface for presenting contentcollections on a mobile device in accordance with some exampleembodiments.

FIG. 3B illustrates aspects of autoforwarding of content collections,according to some example embodiments.

FIG. 3C illustrates aspects of content collection presentation andnavigation on a mobile device, according to some example embodiments.

FIG. 3D illustrates aspects of content collection presentation andnavigation on a mobile device, according to some example embodiments.

FIG. 4 illustrates aspects of a content message and associated contentin accordance with some example embodiments.

FIG. 5 illustrates aspects of a server system for communication ofcontent messages, generation of content collections, and selection ofcontent collections for autoforwarding, according to some exampleembodiments.

FIG. 6 illustrates aspects of a communication system including a devicecommunicating with a server system for for communication of contentmessages, generation of content collections, and selection of contentcollections for autoforwarding, according to some example embodiments.

FIG. 7 illustrates a method in accordance with some example embodiments.

FIG. 8 illustrates a method in accordance with some example embodiments.

FIG. 9 is a block diagram illustrating an example of a softwarearchitecture that may be installed on a machine, according to someexample embodiments.

FIG. 10 illustrates a diagrammatic representation of a machine in theform of a computer system within which a set of instructions may beexecuted for causing the machine to perform any one or more of themethodologies discussed herein, according to an example embodiment.

DETAILED DESCRIPTION

Systems and methods described herein relate to automated presentation ofcontent collections, including processes for generating, selecting, andcontinuously presenting collections of content to a user.

“Content”, as described herein, refers to one or more images or videoclips captured by an electronic device, as well as any associatedmetadata descriptions and graphics or animation added to the image orvideo clip. This includes metadata generated by an electronic devicecapturing an image or video, as well as metadata that may be associatedlater by other devices. A “piece of content” refers to an individualimage or video clip captured by a client device with any changes made tothe image or video clip (e.g. transformations, filters, added text,etcetera.) Individual pieces of content may have multimedia elements,including drawings, text, animations, emoji, or other such elementsadded along with image or video clip elements. Content captured by animage sensor of client device may be sent, along with any addedmultimedia elements from a user, via a network to other client devicesas part of a social sharing network. Individual pieces of content mayhave time limits or associated display times, which are within a displaythreshold set by a system. For example, an embodiment system may limitvideo clips to 10 seconds or less, and may allow users to select displaytimes less than 10 seconds for image content.

A “content message” as referred to herein refers to the communication ofcontent between one or more users via the system. Content may also besent from a client device to a server system to be shared generally withother system users. Some embodiments limit content messages to images orvideo clips captured using an interface that does not allow the contentto be stored and sent later, but instead uses an associated contentmessage with a single piece of content and any added multimedia to besent before any other action is taken on the device. Embodimentsdescribed herein relate to methods of grouping such content into contentcollections (e.g. stories.) In various systems, content messages may besent from one individual user to another individual user, as, forexample, an ephemeral message in addition to the ability to send contentmessages to a server computer system for inclusion in various contentcollections.

A “content collection” as described herein is an ordered set of content.The individual pieces of content that make up a particular contentcollection may be related in a variety of different ways. For example,in some embodiments, a content collection includes all pieces of contentmarked as public that are sent to a server system from a particular userwithin a certain time frame (e.g. within the past 24 hours.) Access tosuch a content collection can be limited to certain other users (e.g.friends) identified by the user that generates the content for thecollection. In some other embodiments, content collections includepieces of content from different users that are related by time,location, content, or other metadata. In some embodiments, contentcollections are referred to as stories. A story or content collectionmay be generated from pieces of content that are related in a variety ofdifferent ways, as is described in more detail throughout this document.

For example, two user devices may each be associated with accounts, andthe accounts may be identified as connected in a communication system.Throughout a given day, one user captures images or video clips (e.g.pieces of content) and sends a content message for each piece of contentto the communication system. Some of these pieces of content areidentified for inclusion in a semi-private content collection associatedwith the sending device. Some of the pieces of content are identified asavailable for public content collections.

Because the two users are connected, the second user is able to accessthe semi-private content collection associated with the first useraccount, which contains only pieces of content generated by devices ofthe first user. When a device of the second user connects to thecommunication system, the second user's device receives interfaceinformation indicating that the first user has a content collection withupdated pieces of content. The interface information sent to the seconduser's device also includes indications for other user's contentcollections that have been updated, so long as the second user isassociated with or otherwise authorized to view the content collections.Additionally, the interface information may include details for contentcollections that are created from content messages sent from any othersystem user. These live or location based content collections may becurated or automatically generated by the communication system.

When the second user selects any one of the content collectionsdescribed in the interface information, the second user's device beginsto display each piece of content from the selected collection in order.Each piece of content is associated with a display time less than athreshold (e.g. 10 seconds or less). When the device reaches the end ofthe selected content collection, rather than stopping display ofcontent, the device autoforwards to a next content collection. Thecommunication system can determine which content collection to play nextin a variety of different ways. In some embodiments, content collectionsare selected first from associated user content collections having amost recent unseen update. After all content collections from suchfriend accounts are displayed, public content collections may beselected based on proximity, time, interestingness, or other suchmetrics. In other embodiments, other user selections or preferences maybe used to select a next content collection.

In some embodiments, the communication system receives sufficientcontent from enough users that the system may generate and displaycontent collections indefinitely. Additionally, some systems may allowautomatic insertion of advertising elements between some or all contentcollections. Further still, some systems allow a user to jump to a nextor previous piece of content or a next or previous content collection inaddition to displaying pieces of content and content collections in aprogressive manner that automatically proceeds to the next piece ofcontent and then the next content collection over time. Additionalembodiments and details are described below.

FIG. 1 is a block diagram illustrating a networked system 100, accordingto some example embodiments. System 100 includes client device 110,client device 120, server system 150, and network 140 that is used toconvey communications between client devices 110 and 120 and the serversystem 150. Client devices 110 and 120 may be any smartphone, tablet,phablet, laptop computer, network-enabled camera, or any other suchnetwork enabled device. Client devices 110, 120 may include a cameradevice for capturing content, or may be coupled to a separate cameradevice that is used to capture the content prior to sending to otherclient device 110, 120 for storage. Some embodiments may thereforeinclude wearable devices such as a pendant with an integrated camerathat is coupled to a client device 110, 120. Other embodiments mayinclude other associated devices with an integrated camera that may bewearable such as a watch, eyeglasses, clothing such as a hat or jacketwith integrated electronics, a clip-on electronic device, or any othersuch devices that may communicate or be integrated with a client device110, 120. Client devices 110 and 120 are connected to server system 150via network 140. The network 140 may include any combination of wiredand wireless connections. This may include cellular access networks,access point interfaces to the internet, or any other such networks 140or network elements. For example, client device 110 may interface withnetwork 140 using a Long Term Evolution (LTE) cellular network tocommunicate with server system 150, while client device 120 may use aWi-Fi access point to interface with network 140 and communicate withserver system 150. Server system 150 may be one or more computingdevices as part of a service or network computing system. In certainembodiments, particularly embodiments with large numbers of clientdevices 110, 120 interfacing with a server system 150 from widelydifferent locations all over the globe, server system 150 may be adistributed network 140 of server computers that are similarly widelydistributed, and which communicate with each other via network 140. Insome embodiments, client devices 110 and 120, as well as any elements ofserver system 150 and network 140, may be implemented using elements ofsoftware architecture 702 or machine 1000 described in FIGS. 9 and 10 .

Networked system 100 then may be used in communication of contentmessages from client devices 110, 120 to a system 150, and communicationof content collections from the system 150 to the client devices 110,120. As shown in FIG. 1 , client device 110 communicates content message112 to server system 150, and client device 110 receives contentcollections 114 from server system 150. In addition to thisfunctionality, used for the embodiments described herein, client device110 may additionally receive private pieces of content andcommunications from other users, and may convey a personal contentcollection to server system 150, with the personal content collectionincluding images and or video from content messages 112 generated byclient device 110 or another device coupled to client device 110.Similarly, client device 120 sends content messages 122 and receivescontent collections 124, and may additionally perform other actions.

FIG. 2A illustrates aspects of server system 250 receiving contentmessages from different geographic areas in accordance with certainexample embodiments. FIG. 2B illustrates aspects of server system 250sending different live content collections to different geographic areasin accordance with certain example embodiments. In contrast to FIG. 1that shows two client devices 110 and 120, FIGS. 2A-D show an abstractof the client side of a system where thousands or millions of clientdevices 110, 120 in different areas may be interacting with a serversystem 250.

Instead of individual client devices 110, 120, FIGS. 2A and 2B show asimple user segment representation with two local geographic areas 204and 206, which are the lowest tier areas in this example. In certainembodiments, geofences are used to define local areas. Such geofencesmay be tracked by aspects of a network system 100 including locationsystems within client devices such as client devices 110 and 120,network based location systems as part of network 140, separate locationsystems such as global positioning systems (GPS), or any combination ofthese or other location systems. In various embodiments, the live orpublic content collections (e.g. 1^(st) content collection set 292 or2^(nd) content collection set 294) may be made available to a particulardevice based on the location of the device and a location associatedwith a particular content collection.

In other embodiments, rather than considering set geofences or groups ofusers, a system may generate content collections for each client device110, 120 individually. In such an embodiment, whenever a user navigatesto a content collections interface within an application operating on aclient device 110, 120 (e.g. as illustrated in FIG. 3A), the clientdevice 110, 120 communicates a current location to the server system250. The location of the device or other device which providedinformation at that time can be used to generate a list of contentcollections for the device.

In the illustrated example of FIG. 2A, the client devices 110, 120within first local geographic area 204 are grouped together andcommunicate 1000 content messages 260 to server system 250 in a firsttime period. The content associated with these content messages 260 isshown as SF1 through SF1000. During the same time period, 10000 contentmessages 262 containing individual video clips or images are sent toserver system 250 by client devices 110, 120 within the second localgeographic area 206, illustrated as content LA1 through LA10000. Theseare public content communications with content available forcommunication to any user. The system may additionally include contentfor content collections limited to “friend” accounts, as well as contentsent as a message to a particular user that is to be deleted as anephemeral message and not shared with any other user than a targetrecipient. The above volume of public content is sufficient to overwhelman individual user. Therefore, server system 250 operates as a curatorto filter the content messages 260, 262 and provide a select set of thepictures and videos from the content messages 260, 262 as one or morecontent collections.

In various embodiments as described below, this curation may beperformed by system operators using a curation tool, or may be performedby automatic analysis and selection performed by the communicationsystem. One example embodiment segments users by local area. Contentcollections for a client device 110, 120 are generated from the mostrecent content messages 260, 262 that were generated in the clientdevice 110, 120's current local area. Such local content messages 260,262 for a content collection can further be filtered based on imagequality and image content. Image content may be used to prevent excesscontent duplication, to provide a variety of different content, toprovide content identified as newsworthy (e.g. images associated withfamous people), or based on any other such content filtering selections.Image content may also be analyzed to identify content duplication, andto avoid placing extremely similar content (e.g. videos of the sameevent from similar angles) in a single content collection. Additionally,the server system 250 can analyze trends associated with incomingcontent messages 260, 262 from other local areas to generate contentcollections based on the trends identified by the system. Additionaldetails related to curation and content collection generation arediscussed below with respect to FIG. 5 .

FIG. 2B then illustrates a first content collection set 292 being madeavailable to all client devices 110, 120 within the first localgeographic area 204. Similarly, second content collection set 294includes content collections visible to all client devices 110, 120within the second local geographic area 206. Second content collectionset 294 is shown as including three content collections, with all threecontent collections generated from content messages 260, 262 originatingin the second local geographic area 206. These content collections ofthe second content collection set 294 include LA content collections291-293. First content collection set 292 is shown as including twocontent collections generated from content messages 260, 262 originatingwithin local geographic area 204, SF content collection 281 and SFcontent collection 282. First content collection set 292 also includes acontent collection generated from content messages 260, 262 originatingwithin local geographic area 206, LA content collection 291. Asdescribed above, LA content collection 291 may be identified by serversystem 250 analyzing system trends, where a larger than normal number ofcontent collection views, screenshots, incoming additional contentmessages 260, 262, or other system trends identify LA content collection291 as a content collection to be made visible to a larger user segment.

FIG. 3A illustrates an embodiment of a user interface for a clientdevice 300. Client device 300 shows user selectable interface areas foreach content collection. This includes selectable public live contentcollections in section 303 and semi-private content collections fromfriend accounts in section 305. The content collections in section 305may thus each include content from devices associated with a singleother account. The content in these content collections 330, 331 mayinclude content within a recent time frame, such as the past 24 hours orone week, or may simply include previously unseen content. In otherembodiments, the content may be limited for this account based “mystories” or account based content collections in any other way describedherein. In the example of FIG. 3A, the client device 300 is associatedwith two other accounts having semi-private content collections 330 and331 with unseen recent updates, and client device 300 is in the firstlocal geo area 204 and thus has access to content collections in firstcontent collection set 292, including content collection 281, contentcollection 282, and content collection 291. Additional contentcollections may be provided by scrolling left and right or up and down.Each interface area may provide basic details or sample imagesassociated with each content collection. These details are received atclient device 300 as interface information for available contentcollections. In certain embodiments, a content collection or part of acontent collection may be provided to client device 300 prior to aselection of an interface area. In other embodiments, images of acontent collection are communicated from a server system such as serversystem 250 following selection of a particular interface area.

The user may physically touch the client device 300, and in response tothe touch, the client device 300 may determine tactile data such astouch location, touch force, or gesture motion. In various exampleembodiments, the client device 300 displays a home screen operable tolaunch applications or otherwise manage various aspects of the clientdevice 300 in a content viewing area 397. In some example embodiments,the home screen provides status information such as battery life,connectivity, or other hardware statuses. The user can activate userinterface elements by touching an area occupied by a respective userinterface element. In this manner, the user interacts with theapplications of the client device 300, including applications thatimplement content collection display and autoforwarding as describedherein.

In certain embodiments, content may be presented within the touch screenof client device 300 operating as a client device 110, 120, and a touchinput may be used to initiate a communication to a server system 150 torequest content collections and to autoforward through a continuing setof content collections, as described herein.

Many varieties of applications 910 (also referred to as “apps”) can beexecuting on the machine 1000, such as native applications (e.g.,applications programmed in Objective-C, Swift, or another suitablelanguage running on IOS™, or applications 910 programmed in Java runningon ANDROID™), mobile web applications (e.g., applications written inHypertext Markup Language-5 (HTML5)), or hybrid applications (e.g., anative shell application that launches an HTML5 session). For example,the client device 300 includes a messaging app, an audio recording app,a camera app, a book reader app, a media app, a fitness app, a filemanagement app, a location app, a browser app, a settings app, acontacts app, a telephone call app, or other apps (e.g., gaming apps,social networking apps, biometric monitoring apps). In another example,the client device 300 includes a social messaging app such as SNAPCHAT®that, consistent with some embodiments, allows users to send publiccontent to a server system 250, and to receive content collections fromthe server system 250. Such a SNAPCHAT application may additionallyenable exchange of private ephemeral image and/or video content messagesin addition to communication of content messages 260, 262 for inclusionin stories and receipt of content in the form of content collections fordisplay on client device 300.

FIGS. 3C and 3D illustrate embodiments of an interface for viewingcontent collections such as the content collections shown in FIG. 3Bafter a touch selection for content collection 291 is made in aninterface of client device 300. For example, as illustrated by FIG. 3B,when a user selects a portion of section 303 associated with contentcollection 291, the individual pieces of content within the collection,shown as pieces of content LA7, LA55, and LA 986-989 are displayed inorder. Each piece of content has an associated display time that isbelow a display threshold time, and each piece of content is presentedin order within content viewing area 397 for the associated display timefor that piece of content. In the example of FIGS. 3A-B, the contentcollection 310 which has the most recent content updates is displayed atthe top of the content collection list in section 305, and is the firstautomatically selected content collection after the content collection291 selected by a user input finishes displaying. After contentcollection 291 finishes displaying, each piece of content 50-57 ofcontent collection 310 plays in order, and the system automaticallyselects the next user based content collection 320 in the list. Aftercontent pieces 80-84 of content collection 320 are displayed, anothercontent collection is selected by the system. If no other contentcollections presented for selection by a user are left, the clientdevice 300 will receive a public content collection from the servercomputer system. This content collection can be a collection curated bysystem operators, or a content collection automatically generated fromall content available to the server system 250. As display of a newlyreceived content collection completes, the client device 300 continuesreceiving new content collections until the user inputs a command tostop presentation of new content.

In some embodiments, additional elements are inserted between the end ofone content collection and the beginning of the next content collection.For example, and end-of-collection graphic is presented, in someembodiments, after content LA989 is displayed for the associated displaytime and before content 50 is displayed. In some embodiments, thiselement is an advertising element, which can include images, text,video, or multiple instances of any such element presented as anadvertisement. In other embodiments, such advertising elements arepresented between each story. In some embodiments, such advertisingelements are presented between stories after a threshold time period,after a set number of content collections, or based on any combinationof such elements. Multiple advertising elements or multiple sets ofadvertising elements may be presented between content collections onuser devices as described herein. In some embodiments, “sponsored”content collections are content from an advertising account. Thesesponsored content collections may be periodically selected by a systembased on advertising metrics within the system. Such sponsored contentcollections are, in some embodiments, selected in a fashion similar tothe selection of advertising elements discussed above, and can includepieces of content from devices, as well as graphical, video, or imagecontent generated using an advertising tool and submitted to a contentdatabase as sponsored content.

Thus, as described herein, a user accesses content collections via aninterface of a mobile device. The interface may include informationabout the available content collections, and may order the contentcollections based on details of the content in the collections. Forexample, in one embodiment, a user may have an account associated with anumber of other accounts (e.g. friends.) Each friend account may have anassociated content collection that includes pieces of content sent to aserver system 250. In one embodiment, a content collection for eachfriend account includes pieces of content selected for a personal storyand sent to a server computer system within the past 24 hours, witholder pieces of content removed from the content collection.Additionally, available content collections, in some embodiments,include content collections associated with public events or locations.Each of these content collections may be presented and ordered in a userinterface on a user's mobile device. Further still, “live” contentcollections may be available, which present curated or automaticallygenerated collections of content filtered from large numbers of contentsent to a system.

In embodiments described herein, selection of an individual contentcollection from a set of presented content collections may then lead toa continuous and ongoing presentation of additional content collectionsor stories. This continuous presentation occurs as part of anautoforward operation on a mobile device which displays subsequentcontent collections after the initial content collection selected by auser has finished displaying.

For example, in one embodiment, a user may select an interfaceassociated with a first content collection from a first friend. Theexample content collection can have six pieces of content which are eachten seconds long. After sixty seconds, assuming no further input fromthe user, the device will autoforward to another content collection. Insome embodiments, the selection of a next content collection may bebased on a source of the content collection. For example, someembodiments autoforward to the next content collection from a friendaccount based on which friend account has a story with the most recentlyadded piece of content that has not been seen. After all contentcollections with previously unseen content have been displayed, contentcollections from local events may similarly be played automatically inorder based on a most recent unseen update. After all local contentcollections with unseen pieces of content have been displayed, othercollections of content are automatically displayed based on systemsettings. The content collections may be selected based on distance,time, interest, user preferences, or any other such system information.In a system that receives sufficient amounts of content messages 260,262 which are available for stories, a mobile device can continue autoforwarding to present additional stories indefinitely, with time,location, quality, interestingness, or other filtering factors relaxedas needed to provide additional content collections.

Additionally, in some embodiments, an advertisement or other segmentingelement may be displayed between some or all content collections. Forexample, in one embodiment, following display of the final piece ofcontent for each content collection, a standard end-of-collectiongraphic may be displayed for a set period of time. In other embodiments,one or more advertisement images or video clips (e.g. advertisementelements) are displayed for a set period of time before autoforwardingto display of the next content collection. In some embodiments, both theend-of-collection graphic and advertisement elements are used.

As described above, then, a system can receive content messages 260, 262from a wide variety of users, and use pieces of content from thesemessages to generate different types of content collections or stories.A user can access these stories via a device, and the system is able toautoforward through an ongoing sequence of content collections, with anext content collection selected in a variety of different ways.

In some embodiments, in addition to automatically presenting contentcollections for a pre-selected time, a user interface allows a user tonavigate through pieces of content within a content collection andbetween different content collections. FIG. 3C shows content viewingarea 397 along with input 398 and input 399, which are selectable areason a touch screen of client device 300. In the interface illustrated byFIG. 3C, content viewing area 397 is displaying a piece of content 82from content collection 320. Content collections 291 and 310 have beenpreviously viewed. Input 398 provides a selectable interface to returnto displaying the content of content collection 291, and input 399provides a selectable interface to return to displaying the content ofcontent collection 310. As the system autoforwards to presenting contentfrom a next content collection, interface data for the previously viewedcontent collections can be moved to inputs 398, 399. In one embodiment,for example, after content collection 320 is finished, input 399 willshow interface information for content collection 320, the interfaceinformation for content collection 310 will move to the area for input398, and content collection 291 will no longer have a user selectableinterface for jumping directly to the content of this contentcollection.

FIG. 3D shows another example embodiment of aspects of user inputs fornavigating through content collections. In the embodiment of FIG. 3D,tapping on a right side of a touch screen display advances to a nextpiece of content before the content display period ends. Tapping on aleft side of the display causes the piece of content displayed justprior to the piece of content being currently displayed to be displayedagain. Such tapping may thus allow a user to navigate forward andbackwards through individual pieces of content. Similarly, swiping fromleft to right as input 393 may move to the first piece of content of acontent collection presented just prior to a current content collection,and swiping right to left as input 391 may cause the beginning of a nextcontent collection to begin displaying. As a piece of content displaysafter a user navigation input, the display time for each piece ofcontent is used to automatically advance between pieces of content, andthen to a new content collection after a final piece of content isdisplayed. Swiping up as input 392 may return to the content collectionselection interface of FIG. 3A, and swiping down as input 392 mayprovide a navigation interface to view similar pieces of content orreceive additional details related to a current piece of content orelement displayed within content viewing area 397.

FIG. 4 then describes one example of a content message 260, 262 that isused, in some embodiments, to send content to a server computer systemfrom a client device 300, such as the communication of content messages112 to server system 150 from client device 110. In some embodiments,the content of a particular message 400 is used to populate the messagetable stored within a database, accessible by the server computersystem. Similarly, the content of a message 400 is stored in memory as“in-transit” or “in-flight” data of the client device 110 or the servercomputer system. The message 400 is shown to include the followingcomponents:

-   -   A message identifier 402: a unique identifier that identifies        the message 400.    -   A message text payload 404: text, to be generated by a user via        a user interface of the client device 110 and that is included        in the message 400.    -   A message image payload 406: image data, captured by a camera        component of a client device 110 or retrieved from memory of a        client device 110, and that is included in the message 400.    -   A message video payload 408: video data captured by a camera        component or retrieved from a memory component of the client        device 110 and that is included in the message 400.    -   A message audio payload 410: audio data, captured by a        microphone or retrieved from the memory component of the client        device 110, and that is included in the message 400.    -   Message annotations 412: annotation data (e.g., filters,        stickers or other enhancements) that represents annotations to        be applied to message image payload 406, message video payload        408, or message audio payload 410 of the message 400.    -   A message duration parameter 414: parameter value indicating, in        seconds, the amount of time for which content of the message        (e.g., the message image payload 406, message video payload 408,        message audio payload 410) is to be presented or made accessible        to a user via a messaging client application operating on any        device described herein.    -   A message geolocation parameter 416: geolocation data (e.g.,        latitudinal and longitudinal coordinates) associated with the        content payload of the message. Multiple message geolocation        parameter 416 values may be included in the payload, each of        these parameter values being associated with respect to content        items included in the content (e.g., a specific image within the        message image payload 406, or a specific video in the message        video payload 408).    -   A message story identifier 418: identifier values identifying        one or more content collections (e.g., “stories”) with which a        particular content item in the message image payload 406 of the        message 400 is associated. For example, multiple images within        the message image payload 406 may each be associated with        multiple content collections using identifier values.    -   A message tag 420: each message 400 may be tagged with multiple        tags, each of which is indicative of the subject matter of        content included in the message payload. For example, where a        particular image included in the message image payload 406        depicts an animal (e.g., a lion), a tag value may be included        within the message tag 420 that is indicative of the relevant        animal. Tag values may be generated manually, based on user        input, or may be automatically generated using, for example,        image recognition. Tag values may additionally be used to        identify whether content from a message is to be included in a        content collection associated with an account for the sending        client device 110 with other content from that account. Tag        values may also identify that content of a message is available        for public dissemination, including inclusion in public content        collections with content from devices associated with other        accounts.    -   A message sender identifier 422: an identifier (e.g., a        messaging system identifier, email address or device identifier)        indicative of a user of the client device 110 on which the        message 400 was generated and from which the message 400 was        sent    -   A message receiver identifier 424: an identifier (e.g., a        messaging system identifier, email address or device identifier)        indicative of a user of the client device 110 to which the        message 400 is addressed.

The contents (e.g. values) of the various components of message 400 maybe pointers to locations in tables within which content data values arestored. For example, an image value in the message image payload 406 maybe a pointer to (or address of) a location within an image table.Similarly, values within the message video payload 408 may point to datastored within a video table, values stored within the messageannotations 412 may point to data stored in an annotation table, valuesstored within the message story identifier 418 may point to data storedin content collection table, and values stored within the message senderidentifier 422 and the message receiver identifier 424 may point to userrecords stored within an entity table. In some embodiments, the messagereceiver identifier 424 may be used to associate content of a messagewith a particular content collection or to make the content availablefor curated stories. For example, one message receiver identifier 424may be associated with the user's personal content collection that isonly available for viewing by friends. Another message receiveridentifier 424 may be for a pool of content presented to a systemcurator that generates public content collections using submittedcontent messages 260, 262.

Data from such content messages 260, 262 as well as other sources (e.g.curation tools, advertisement tools, etc.) are, in some embodiments,stored in a database of a server computer system. While the content ofthe database is discussed as a number of tables, it will be appreciatedthat the data could be stored in other types of data structures (e.g.,as an object-oriented database).

One example database includes message data stored within a messagetable. The entity table stores entity data, including an entity graph.Entities for which records are maintained within the entity table mayinclude individuals, corporate entities, organizations, objects, places,events etc. Regardless of type, any entity regarding which the messagingserver system 250 stores data may be a recognized entity. Each entity isprovided with a unique identifier, as well as an entity type identifier.

The entity graph furthermore stores information regarding relationshipsand associations between entities. Such relationships may be social,professional (e.g., work at a common corporation or organization)interest-based or activity-based, merely for example. Theserelationships may, for example, provide access to semi-private contentcollections 330, 331, such that a user device is sent interfaceinformation for a content collection and allowed to select and view theassociated content of another user if a relationship is establishedbetween the users.

The database, in some embodiments, also stores annotation data, in theexample form of filters, in an annotation table. Filters for which datais stored within the annotation table are associated with and applied tovideos (for which data is stored in a video table) and/or images (forwhich data is stored in an image table). Filters, in one example, areoverlays that are displayed as overlaid on an image or video duringpresentation to a recipient user. Filters may be of varies types,including a user-selected filters from a gallery of filters presented toa sending user by the messaging client application when the sending useris composing a message. Other types of filers include geolocationfilters (also known as geo-filters) which may be presented to a sendinguser based on geographic location. For example, geolocation filtersspecific to a neighborhood or special location may be presented within auser interface by the messaging client application, based on geolocationinformation determined by a GPS unit of the client device 110. Anothertype of filer is a data filer, which may be selectively presented to asending user by the messaging client application, based on other inputs398 or information gathered by the client device 110 during the messagecreation process. Examples of data filters include current temperatureat a specific location, a current speed at which a sending user istraveling, battery life for a client device 110 or the current time.

Other annotation data that may be stored within the image table isso-called “lens” data. A “lens” may be a real-time special effect andsound that may be added to an image or a video.

As mentioned above, the video table stores video data which, in oneembodiment, is associated with messages for which records are maintainedwithin the message table. Similarly, the image table stores image dataassociated with messages for which message data is stored in the entitytable. The entity table may associate various annotations from theannotation table with various images and videos stored in the imagetable and the video table.

A content collection table stores data regarding collections of messagesand associated image, video or audio data, which are compiled into acollection (e.g., a SNAPCHAT story or a gallery). The creation of aparticular collection may be initiated by a particular user (e.g., eachuser for which a record is maintained in the entity table). A user maycreate a “personal story” or content collection in the form of acollection of content that has been created and sent/broadcast by thatuser. To this end, the user interface of the messaging clientapplication may include an icon that is user selectable to enable asending user to add specific content to his or her personal story.

A collection may also constitute a “live story,” which is a collectionof content from multiple users that is created manually, automaticallyor using a combination of manual and automatic techniques. For example,such a live content collection may constitute a curated set ofuser-submitted content from various locations and events. Users, whoseclient devices 110 have location services enabled and are at a commonlocation event at a particular time may, for example, be presented withan option, via a user interface of the messaging client application, tocontribute content to a particular live story. The live story may beidentified to the user by the messaging client application 104, based onhis or her location. The end result is a “live story” told from acommunity perspective.

A further type of content collection is known as a “location story”,which enables a user whose client device 110 is located within aspecific geographic location (e.g., on a college or university campus)to contribute to a particular collection. In some embodiments, acontribution to a location story may use a second degree ofauthentication to verify that the end user belongs to a specificorganization or other entity (e.g., is a student on the universitycampus). In various other embodiments, other types of contentcollections may be identified and structured within a database usingsystem operator curation tools or automatic computer based analysis, asdescribed herein.

FIG. 5 illustrates aspects of a server system 550 for automated localcontent collection generation and curation, according to some exampleembodiments. In various embodiments, server system 550 may be used as animplementation of server system 150 or server system 250. The exampleserver system 550 includes input and output (I/O) module 552, contentcharacteristic analysis module 554, machine vision module 556, contentdatabase 558, account management module 562, automatic contentcollection module 560, and curation tools 564.

I/O module 552 may include any hardware, firmware, or software elementsneeded to send and receive content and content collections to clientdevices 110, 120 via a network 140. Content characteristic analysismodule 554 may include devices, processors, and software to analyzeimages from pictures and frames of video clips, and then determinecontent characteristics, including details about when and where apicture or video was generated. In certain embodiments, contentcharacteristic analysis module 554 may be implemented as a plurality ofdifferent modules, each analyzing a different content characteristic,including any content characteristic described herein.

Machine vision module 556 describes a particular module that may be usedto identify content characteristics based on the content of an image orimages in a video. Machine vision module 556 includes hardware,firmware, and/or software for analyzing and understanding content. Inone embodiment, machine vision module 556 is associated with adictionary comprising image and video content values. Objects identifiedin images of a piece of content and the arrangement of the identifiedobjects therein may be used by machine vision module 556, in such anembodiment, to select one or more content values from the dictionary ascontent characteristics. For example, a simple such machine visionmodule 556 may identify a ball in an image, and select the values balland game as content characteristics. A more complex module may identifythe type of ball as a basketball, and include “basketball” as acharacteristic value. A still more complex machine vision module 556 mayidentify a basketball, a crowd, a court color, and an elevatedperspective of the court to identify “professional basketball game” and“basketball arena” as content values for the content. The same complexmachine vision module 556 may identify a basketball, a park background,and a concrete court surface and associate “amateur basketball game” and“playground basketball” as content values for the content.

These content values generated by machine vision module 556 can then bestored in content database 558 along with other characteristic values.Such characteristic values can include: one or more content values(i.e., an identification of what's in the content); a generation time; ageneration time period; a generation location; a generation area; one ormore quality values, any metadata value associated with content, anidentifier for a particular piece of content, or any other such values.In some embodiments, a copy of content may be stored in content database558 with location information, capture time information, and any othersuch information about a piece of content. In certain embodiments,content database 558 may anonymously store details about content use.For example, client devices 110, 120 can communicate details aboutpresentation of the content on a screen of the device, and aboutscreenshots taken of the content. Anonymous metrics about how often apiece of content is viewed as part of a content collection, how long thecontent is viewed for, and how frequently screenshots are taken may thenbe measured by server system 550, as part of analysis by contentcharacteristic analysis module 554, with the resulting data stored incontent database 558. In some embodiments, content database 558 mayinclude this content information with any content or content messageinformation discussed above with respect to FIG. 4 or in any database ortable structure discussed above.

Account management module 562 includes application or interfacefunctionality to enable users to manage entity/account relationships viacommunications between user devices and server system 550. Accountmanagement module 562 may also manage an individual user's contentcollections as described herein.

Curation tools 564 include tools available to system operators oradvertisers to generate and present content collections from largeamounts of content received at server system 550 and made available byuser selection to be included in public content collections (e.g. livecontent collections, location content collections, content based contentcollections, etcetera.) Similarly, automatic content collectiongeneration module 560 may filter through large numbers of receivedpieces of content to generate content collections grouped by location,time, topic, or on any other such basis. In some embodiments, elementsof automatic content collection generation module 560 are used to filterthe number of pieces of content provided to curation tools 564 to asmaller number (e.g. filtering 10000 received pieces of content toprovide 500 pieces of content to curation tools 564 for review by systemoperators.)

In some embodiments, automatic content collection generation module 560may then use information about pieces of content from content database558 to select particular pictures or videos for an automaticallygenerated content collection. In various embodiments, automatic contentcollection generation module 560 may use complex scoring, weighting, andother rules in generating a content collection. For example, certainembodiments may function such that that all pieces of content meet aquality threshold unless a trend having certain thresholdcharacteristics is identified and all content associated with the trendare below the quality threshold. Another embodiment may weight contentcollection generation based on a number of content collections currentlyavailable in a local geographic area 204, 206. In still furtherembodiments, any number of complex rules may be applied together as partof content collection generation to filter images and videos for acontent collection based on time, location, content, and quality.

Content collection selection and autoforwarding module 566 is used toselect one or more next content collections to be sent to a clientdevice 110 following selection of an initial content collection fordisplay on the device and after an autoforward message requesting inputor selection of a next content collection is received. In someembodiments, initial sets of content collections are cached on a clientdevice 110, and module 560 only interacts with a device after thelocally cached content collections are presented. In other embodiments,different sets of rules are applied to different sets of contentcollections. For example, content collection selection andautoforwarding module 566 may apply a most recent update order toselecting a next entity relationship content collections, and a userbased interest scoring to a selection order for all other contentcollections. In other embodiments, other sets of selection rules areapplied to determine which content collection will be selected as anautomatically displayed (e.g. autoforwarded) next content collection fora device. Content collection selection and autoforwarding module 566, insome embodiments, also manages communication of elements to be displayedbetween content collections, including advertising elements orend-of-collection graphics.

In some embodiments, quality scoring within automatic content collectiongeneration module 560 and/or content collection selection andautoforwarding module 566 may be used to filter or select pieces ofcontent for a particular content collection and to filter differentcontent collections for presentation to a user. A quality score, in someembodiments, is based on a detailed exposure analysis of an image or asample of frames in a video clip. For example, a histogram of luminancemay be calculated, and a quality may be assigned to the image or videobased on a correlation of the histogram with a quality score. Such acorrelation may be based on a table or function associating certainhistogram patterns with selected quality scores, or may be generated inany other such matters. For video where multiple sample frames areanalyzed, an average of scores for each frame may be used to select ascore, a worst score for an individual frame of all the analyzed framesmay be used, or any such combination or function of multiple scores orselections of scores may be used.

In some embodiments, motion-blur estimation of an image or of selectedvideo clips is used as a part of the quality score. Such motion blurestimation may, for example, be based on a calculation of energygradients on detected edges, or other such motion estimations. For videoclips, identifying video frames with motion blur above a thresholdamount may trigger analysis of additional sample frames to determine howmuch of the video is impacted by motion blur, or to identify when ashakiness of a camera sensor impacts an entire video. In certainembodiments, a system may use a threshold for video motion or“shakiness” to filter out videos with camera motion or shake above thethreshold. In other embodiments, a shakiness or motion score may simplymodify an overall quality score. In other embodiments, both a hardthreshold as well as an input to an overall quality score may be used.

In some embodiments, images or sample video frames may be analyzed forcompression artifacts or other image processing artifacts that indicatea lower image quality or errors introduced into an image due to variouscompression or communication problems. Such artifacts may include imageringing, image contouring, staircase noise along curving edges,posterizing artifacts, or block boundary artifacts. Videos may beanalyzed for additional video based compression artifacts such as blockboundary artifacts associated with motion compensation or mosquito noisethat may be identified by analysis of selected frames of a video. Thepresence of such compression artifacts and the intensity of anyidentified compression artifacts may be used to modify or select aquality score for an image or video clip. In addition to suchinformation loss associated with compression or lossy transmission,images and video frames may also be analyzed for other types of noise.For example, variance in smooth or uniform regions of an image may beanalyzed for noise artifacts, such as noise associated with a lowquality or malfunctioning camera sensor, low quality or dirty optics ofa camera, or any other such source of noise that may lower, corrupt, ormodify the data in the image.

Audio data is also used for quality scoring of video clips in someembodiments. In such embodiments, various audio metrics such as dynamicrange, noise levels, language clarity or language recognition data, orany other such audio based information may be used to select an audioquality score or to impact an overall quality score. Different audiodata metrics, in some embodiments, are used based on a determined audioenvironment. For example, a video clip with speech may be assesseddifferently than a clip with music, or video clips with different typesof music may be assessed differently. Additionally, audio spotting toidentify objectionable audio content (e.g. taboo spoken language orexplicit music lyrics) can be used for a quality score or a qualitythreshold flag, in some embodiments.

In addition to quality scores based on image quality, some scores may bebased on image content. For example, as mentioned above, imageprocessing may be used to identify objectionable content such as nudityor taboo language within an image or video clip. In some embodiments, apreferred orientation (e.g. landscape or portrait) may be used forquality scoring. Some systems may additionally use image recognition toidentify desirable content. For example, in some systems, images ofanimals or images of objects associated with a party environment areidentified as desirable. The presence of such images within video framesor pictures may be used to increase an overall quality score, or togenerate a content score.

Feedback or machine learning is used, in certain embodiments, to selector set a quality score. Such systems may use neural networks to extractfeatures identified as preferred or interesting to system users. Forexample, in some embodiments, images selected by system users forinclusion in one or more stories may be selected for a learning set.Some or all images and video frames from the learning set may havefeatures extracted and analyzed using a feed-forward artificial neuralnetwork such as a convolutional neural network to identify desirableelements of the images, and to automatically assign an interestingnessscore to future images received based on the neural network generatedwith the learning set. Feature maps used within such neural networks maybe based on any analysis metric described herein, including imagequality features and image content features. In some embodiments,learnable filters may be selected and automatically updated based on adatabase of images from image processing services used for contentanalysis of images or video frames. In other embodiments, any other suchsources may be used for learnable filters. Such analysis may be appliedto both image elements of content as well as to audio elements ofvideos.

Other feedback mechanisms may be used in various embodiments. Forexample, in some embodiments, a content source, user, or accountassociated with generating an image or video clip may have associatedhistory data. In some embodiments, association of a content source witha history of content selected by system users or associated with highquality ratings may be used as an input to a quality score, or may beused as a quality flag. Various content source metrics such as thequality history, number of images sent, number of system followers orinterconnections, or other such metrics may be used.

In some embodiments, multiple different quality scores may be associatedwith each individual piece of media content, so that an image may havean exposure quality score, a noise quality score, a motion qualityscore, a compression quality score, a resolution quality scores, anaudio quality score, a content score, or any other such separate qualityscores. In such embodiments, an overall quality score based on anycombination of such individual quality scores may also be provided.Further, as mentioned above, some or all of such quality scores mayindividually be used to reject certain pieces of media contentautomatically, with only the images or videos that exceed all thresholdsbeing presented to a system user. Such a system may have any number ofthresholds based on separate quality scores or multiple differentcombinations of different quality scores. In some embodiments, suchthresholds may be variable to present a target number of images and/orvideos to a system user. Similarly, different types of images or videoclips may be assessed differently, such that weights may be applied todifferent images differently based on content, location, time, proximityin location or time to a holiday or news event, overall environment, orother such information. The metrics and weights for any of the above, insome embodiments, are applied differently to a selfie taken inside thanto concert footage taken outdoors at night. Further, aggregated interestand quality scores for complete sets of content collections (e.g.balanced or weighted scoring for pieces of content within a contentcollection) are used to sort and select content collections forpresentation to a user.

FIG. 6 then illustrates aspects of one embodiment of system operationfor autoforwarding presentation of content collections as part ofcommunications between a user device 610 and a server system 650. In theexample embodiment of FIG. 6 , server system 650 receives and storescontent in operation 662. As discussed above, this content is receivedfrom a variety of different devices. Server system 650 processes thecontent to generate content collections. Based on various factorsdiscussed above, such as entity or account relationships, location,system use history, or other factors which may be used in differentembodiments, server system 650 selects certain content collections to bemade available to a user of device 610 (e.g. via an interface such asthat shown in FIG. 3A.) Interface information, which may include detailsof collection updates and image frames of content from a collection, aresent to device 610 in operation 664. Device 610 then presents aninterface including interface information from operation 664, andreceives a user's selection of a content collection in operation 666. Inthe example of FIG. 6 , the device 610 sends a resulting request for theselected content (e.g. a story request) and receives the content inresponse. In various other embodiments, some or all content of one ormore content collections may be cached at device 610. In the embodimentof FIG. 6 , the server system 650 sends content of the selectedcollection in response to the user selection of operation 666 and as aresponse to the story request in operation 668.

Device 610 then begins displaying content of the content collection inoperation 669. When display of a first content collection is complete orexpected (e.g. within a threshold time of the end of a final piece ofcontent or based on some other content collection ending trigger),device 610 sends an autoforward communication to server system 650requesting additional content in operation 670, and receives contentfrom a next content collection in operation 672. In embodiments withcaching, the initial autoforward communication may occur based on atrigger associated with an end of the cached content. Operations 674A-Nthen proceed with the device 610 requesting additional content based oneither autoforward operation or user navigation inputs. For example, ifa user is near the end of a content collection, and inputs a “nextcontent collection” command (e.g. input 393), a request is sent, in someembodiments, from device 610 to server system 650 and content for a nextcontent collection is sent in return. This proceeds with the contentdisplayed in continuing display content operation 669 until an input isreceived at device 610 to end content display as part of operation 676.

FIG. 7 then illustrates a method 700, according to some embodiments, forcontent collection curation and autoforward operation. In someembodiments, method 700 may be performed by a server computer system orserver system 250 such as server systems 150, 250. In other embodiments,method 700 may be implemented as computer readable instructions that,when executed by processors of a computer, cause the computer to performmethod 700. Various embodiments may be implemented in any fashiondescribed herein. Additionally, it will be apparent that certainoperations may be repeated, reordered, or may have other operationsperformed between the described operations, while still functioning inaccordance with the content collection curation and autoforwardembodiments described herein.

Method 700 begins with operation 702 storing, at a database of a servercomputer system, a plurality of content messages 260, 262 from aplurality of client devices 110, 120, wherein a corresponding piece ofcontent from each content message 260, 262 is associated with a displaytime less than a threshold display time. Examples of threshold displaytimes are 10 seconds, 30 seconds, and 60 seconds. Other thresholds maybe used in other embodiments. Actual display times for a piece ofcontent (e.g. an image with no fixed presentation time) may be less thanthe threshold. The actual display time may be set by an originator ofthe image, or by system operation. For image content, the threshold maybe enforced by simply cutting the video clip display time to thethreshold maximum, and deleting any data for images that overrun thethreshold display time limit.

Operation 704 then involves generating, by the server computer system, afirst plurality of content collections from the plurality of contentmessages 260, 262, each content collection of the first plurality ofcontent collections comprising associated content from one or morecontent messages 260, 262 of the plurality of content messages 260, 262.In operation 706, the server computer system communications interfacesends information for each content collection of the first plurality ofcontent collections to a first mobile device. In operation 708, theserver computer receives, from the first mobile device, a first storyrequest associated with a first selection, at the first mobile device,of a first content collection of the first plurality of contentcollections. In some embodiments, the first story request is simply anotification that content has been selected for display. In someembodiments, the story request is a request to for the server to sendcontent of a story. In some embodiments, the request identifies thatpreviously sent content that is cached at a device is being presented.Operation 710 then involves receiving, from the first mobile device, anautoforward communication associated with completion of a presentationof the first content collection at the first mobile device. Theassociation between the autoforward communication and the completion maybe based on actually displaying of the last piece of content in acontent collection, or based on a threshold or other indicator that anext content collection is expected for display. Any such threshold oroperation to initiate communication of a next content collection may beused for the autoforward communication. Operation 712 then includesautomatically communicating a second content collection from the servercomputer system to the first mobile device for automatic display on thefirst mobile device in response to receipt of the story request and theautoforward communication, wherein the second content collection isselected automatically by the server computer system.

In various embodiments, operation of a method may continue, withautoforward communications requesting a next content collection fordisplay on the device. In some embodiments, when all content collectionsassociated with interface information provided to a device has beendisplayed, a device may send a live autoforward communication to theserver. This live autoforward communication may simply indicate thatcurrent or live content is requested in content collection formation, ormay otherwise request that certain operations are taken by the server toselect additional content collections beyond those identified in theinitial interface information. In some embodiments, the live autoforwardcommunication may indicate that the device is requesting a change fromone set of rules for selecting a next content collection to a differentset of rules for selecting the next content collection.

Method 800 of FIG. 8 is an example embodiment that may be implemented asoperation of a corresponding device in communication with a servercomputer performing method 700. In other embodiments, methods other thanmethod 800 and method 700 may be performed by devices and server systems250 to implement curation and autoforwarding as described herein.Operations of method 800 may be implemented, in different embodiments,in any fashion described for similar operations discussed herein.

Method 800 begins with operation 802 receiving, from a server computersystem, interface information for a first plurality of contentcollections, the interface information comprising a plurality of contentimages associated with each content collection of the first plurality ofcontent collections. Operation 804 then involves receiving, by the firstmobile device, a user input initiating a story request associated withselection of a first content collection of the first plurality ofcontent collections and operation 806 continues with receiving, from theserver computer system, a first set of ordered pieces of contentassociated with the first content collection, each piece of content ofthe set of ordered pieces of content having an associated display timeless than a threshold display time.

The first mobile device then displays at least a portion of the firstset of ordered pieces of content in operation 808. A story end triggerassociated with display of a final piece of content of the first set ofordered pieces of content is identified following operation 808 inoperation 810, and in response to identification of the story endtrigger, the device automatically initiating display of a second set ofordered pieces of content associated with a second content collection ofthe first plurality of content collections in operation 812. In variousembodiments, the story end trigger may be an actual ending of display ofa final piece of content from a content collection. In otherembodiments, this may be a trigger based on an expected time to retrievecontent from a server prior to the end of display of a final piece ofcontent for a content collection. In some embodiments, this may be atrigger indicating a request to cache content for a next contentcollection. In still further embodiments, other triggers may be used torequest selection and or transmission of a next content collection to bepresented automatically at the device. Additionally, as describedherein, in various embodiments, multimedia advertising elements (e.g.images, video, graphics, etcetera) may be provided to a device fordisplay between any or all content collections. Different advertisingthresholds may be used, such as a time since last advertising elementpresented, an advertising to content ratio, or any other such threshold.

FIG. 9 is a block diagram 900 illustrating architecture of software 902,which can be installed on any one or more of the devices describedabove. For example, in various embodiments, client devices 110 and 120and server systems 150, 250, and 550 may be implemented using some orall of the elements of software 902. FIG. 9 is merely a non-limitingexample of a software architecture, and it will be appreciated that manyother architectures can be implemented to facilitate the functionalitydescribed herein. In various embodiments, the software 902 isimplemented by hardware such as machine 1000 of FIG. 10 that includesprocessors 1010, memory 1030, and I/O components 1050. In this examplearchitecture, the software 902 can be conceptualized as a stack oflayers where each layer may provide a particular functionality. Forexample, the software 902 includes layers such as an operating system904, libraries 906, frameworks 908, and applications 910. Operationally,the applications 910 invoke application programming interface (API)calls 912 through the software stack and receive messages 914 inresponse to the API calls 912, consistent with some embodiments.

In various implementations, the operating system 904 manages hardwareresources and provides common services. The operating system 904includes, for example, a kernel 920, services 922, and drivers 924. Thekernel 920 acts as an abstraction layer between the hardware and theother software layers, consistent with some embodiments. For example,the kernel 920 provides memory management, processor management (e.g.,scheduling), component management, networking, and security settings,among other functionality. The services 922 can provide other commonservices for the other software layers. The drivers 924 are responsiblefor controlling or interfacing with the underlying hardware, accordingto some embodiments. For instance, the drivers 924 can include displaydrivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers,flash memory drivers, serial communication drivers (e.g., UniversalSerial Bus (USB) drivers), WI-FI® drivers, audio drivers, powermanagement drivers, and so forth.

In some embodiments, the libraries 906 provide a low-level commoninfrastructure utilized by the applications 910. The libraries 906 caninclude system libraries 930 (e.g., C standard library) that can providefunctions such as memory allocation functions, string manipulationfunctions, mathematic functions, and the like. In addition, thelibraries 906 can include API libraries 932 such as media libraries(e.g., libraries to support presentation and manipulation of variousmedia formats such as Moving Picture Experts Group-4 (MPEG4), AdvancedVideo Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3),Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec,Joint Photographic Experts Group (JPEG or JPG), or Portable NetworkGraphics (PNG)), graphics libraries (e.g., an OpenGL framework used torender in two dimensions (2D) and three dimensions (3D) in a graphiccontent on a display), database libraries (e.g., SQLite to providevarious relational database functions), web libraries (e.g., WebKit toprovide web browsing functionality), and the like. The libraries 906 canalso include a wide variety of other libraries 934 to provide many otherAPIs to the applications 910.

The frameworks 908 provide a high-level common infrastructure that canbe utilized by the applications 910, according to some embodiments. Forexample, the frameworks 908 provide various graphic user interface (GUI)functions, high-level resource management, high-level location services,and so forth. The frameworks 908 can provide a broad spectrum of otherAPIs that can be utilized by the applications 910, some of which may bespecific to a particular operating system 904 or platform.

In an example embodiment, the applications 910 include a homeapplication 950, a contacts application 952, a browser application 954,a book reader application 956, a location application 958, a mediaapplication 960, a messaging application 962, a game application 964,and a broad assortment of other applications such as a third partyapplication 966. According to some embodiments, the applications 910 areprograms that execute functions defined in the programs. Variousprogramming languages can be employed to create one or more of theapplications 910, structured in a variety of manners, such asobject-oriented programming languages (e.g., Objective-C, Java, or C++)or procedural programming languages (e.g., C or assembly language). In aspecific example, the third party application 966 (e.g., an applicationdeveloped using the ANDROID™ or IOS™ software development kit (SDK) byan entity other than the vendor of the particular platform) may bemobile software running on a mobile operating system such as IOS™,ANDROID™, WINDOWS® Phone, or another mobile operating system. In thisexample, the third party application 966 can invoke the API calls 912provided by the operating system 904 to facilitate functionalitydescribed herein.

Some embodiments may particularly include a content collectionapplication 967. In certain embodiments, this may be a stand-aloneapplication that operates to manage communications with a server systemsuch as server system 150. In other embodiments, this functionality maybe integrated with another application such as a media application 960or another such application. Content collection application 967 maymanage collection of content using a camera device of machine 1000,communication with a server system 550 via I/O components 1050, andreceipt and storage of received content collections in memory 1030.Presentation of content and user inputs associated with content may bemanaged by story application 967 using different frameworks 908, library906 elements, or operating system 904 elements operating on a machine1000.

FIG. 10 is a block diagram illustrating components of a machine 1000,according to some embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 10 shows a diagrammatic representation of the machine1000 in the example form of a computer system, within which instructions1016 (e.g., software, a program, an application 710, an applet, an app,or other executable code) for causing the machine 1000 to perform anyone or more of the methodologies discussed herein can be executed. Inalternative embodiments, the machine 1000 operates as a standalonedevice or can be coupled (e.g., networked) to other machines. In anetworked deployment, the machine 1000 may operate in the capacity of aserver machine 550 or a client device 110, 120 in a server-clientnetwork environment, or as a peer machine in a peer-to-peer (ordistributed) network environment. The machine 1000 can comprise, but notbe limited to, a server computer, a client computer, a personal computer(PC), a tablet computer, a laptop computer, a netbook, a set-top box(STB), a personal digital assistant (PDA), an entertainment mediasystem, a cellular telephone, a smart phone, a mobile device 800, awearable device (e.g., a smart watch), a smart home device (e.g., asmart appliance), other smart devices, a web appliance, a networkrouter, a network switch, a network bridge, or any machine capable ofexecuting the instructions 1016, sequentially or otherwise, that specifyactions to be taken by the machine 1000. Further, while only a singlemachine 1000 is illustrated, the term “machine” shall also be taken toinclude a collection of machines 1000 that individually or jointlyexecute the instructions 1016 to perform any one or more of themethodologies discussed herein.

In various embodiments, the machine 1000 comprises processors 1010,memory 1030, and I/O components 1050, which can be configured tocommunicate with each other via a bus 1002. In an example embodiment,the processors 1010 (e.g., a central processing unit (CPU), a reducedinstruction set computing (RISC) processor, a complex instruction setcomputing (CISC) processor, a graphics processing unit (GPU), a digitalsignal processor (DSP), an application specific integrated circuit(ASIC), a radio-frequency integrated circuit (RFIC), another processor,or any suitable combination thereof) include, for example, a processor1012 and a processor 1014 that may execute the instructions 1016. Theterm “processor” is intended to include multi-core processors 1010 thatmay comprise two or more independent processors 1012, 1014 (alsoreferred to as “cores”) that can execute instructions 1016contemporaneously. Although FIG. 10 shows multiple processors 1010, themachine 1000 may include a single processor 1010 with a single core, asingle processor 1010 with multiple cores (e.g., a multi-core processor1010), multiple processors 1012, 1014 with a single core, multipleprocessors 1010, 1012 with multiples cores, or any combination thereof.

The memory 1030 comprises a main memory 1032, a static memory 1034, anda storage unit 1036 accessible to the processors 1010 via the bus 1002,according to some embodiments. The storage unit 1036 can include amachine-readable medium 1038 on which are stored the instructions 1016embodying any one or more of the methodologies or functions describedherein. The instructions 1016 can also reside, completely or at leastpartially, within the main memory 1032, within the static memory 1034,within at least one of the processors 1010 (e.g., within the processor'scache memory), or any suitable combination thereof, during executionthereof by the machine 1000. Accordingly, in various embodiments, themain memory 1032, the static memory 1034, and the processors 1010 areconsidered machine-readable media 1038.

As used herein, the term “memory” refers to a machine-readable medium1038 able to store data temporarily or permanently and may be taken toinclude, but not be limited to, random-access memory (RAM), read-onlymemory (ROM), buffer memory, flash memory, and cache memory. While themachine-readable medium 1038 is shown, in an example embodiment, to be asingle medium, the term “machine-readable medium” should be taken toinclude a single medium or multiple media (e.g., a centralized ordistributed database, or associated caches and servers) able to storethe instructions 1016. The term “machine-readable medium” shall also betaken to include any medium, or combination of multiple media, that iscapable of storing instructions (e.g., instructions 1016) for executionby a machine (e.g., machine 1000), such that the instructions 1016, whenexecuted by one or more processors of the machine 1000 (e.g., processors1010), cause the machine 1000 to perform any one or more of themethodologies described herein. Accordingly, a “machine-readable medium”refers to a single storage apparatus or device, as well as “cloud-based”storage systems or storage networks that include multiple storageapparatus or devices. The term “machine-readable medium” shallaccordingly be taken to include, but not be limited to, one or more datarepositories in the form of a solid-state memory (e.g., flash memory),an optical medium, a magnetic medium, other non-volatile memory (e.g.,erasable programmable read-only memory (EPROM)), or any suitablecombination thereof. The term “machine-readable medium” specificallyexcludes non-statutory signals per se.

The I/O components 1050 include a wide variety of components to receiveinput, provide output, produce output, transmit information, exchangeinformation, capture measurements, and so on. In general, it will beappreciated that the I/O components 1050 can include many othercomponents that are not shown in FIG. 10 . The I/O components 1050 aregrouped according to functionality merely for simplifying the followingdiscussion, and the grouping is in no way limiting. In various exampleembodiments, the I/O components 1050 include output components 1052 andinput components 1054. The output components 1052 include visualcomponents (e.g., a display such as a plasma display panel (PDP), alight emitting diode (LED) display, a liquid crystal display (LCD), aprojector, or a cathode ray tube (CRT)), acoustic components (e.g.,speakers), haptic components (e.g., a vibratory motor), other signalgenerators, and so forth. The input components 1054 include alphanumericinput components (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point-based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstruments), tactile input components (e.g., a physical button, a touchscreen that provides location and force of touches or touch gestures, orother tactile input components), audio input components (e.g., amicrophone), and the like.

In some further example embodiments, the I/O components 1050 includebiometric components 1056, motion components 1058, environmentalcomponents 1060, or position components 1062, among a wide array ofother components. For example, the biometric components 1056 includecomponents to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), measurebiosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1058 includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environmental components 1060 include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometers that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensor components(e.g., machine olfaction detection sensors, gas detection sensors todetect concentrations of hazardous gases for safety or to measurepollutants in the atmosphere), or other components that may provideindications, measurements, or signals corresponding to a surroundingphysical environment. The position components 1062 include locationsensor components (e.g., a Global Positioning System (GPS) receivercomponent), altitude sensor components (e.g., altimeters or barometersthat detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication can be implemented using a wide variety of technologies.The I/O components 1050 may include communication components 1064operable to couple the machine 1000 to a network 1080 or devices 1070via a coupling 1082 and a coupling 1072, respectively. For example, thecommunication components 1064 include a network interface component oranother suitable device to interface with the network 1080. In furtherexamples, communication components 1064 include wired communicationcomponents, wireless communication components, cellular communicationcomponents, near field communication (NFC) components, BLUETOOTH®components (e.g., BLUETOOTH® Low Energy), WI-FI® components, and othercommunication components to provide communication via other modalities.The devices 1070 may be another machine 1000 or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, in some embodiments, the communication components 1064 detectidentifiers or include components operable to detect identifiers. Forexample, the communication components 1064 include radio frequencyidentification (RFID) tag reader components, NFC smart tag detectioncomponents, optical reader components (e.g., an optical sensor to detecta one-dimensional bar codes such as a Universal Product Code (UPC) barcode, multi-dimensional bar codes such as a Quick Response (QR) code,Aztec Code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code,Uniform Commercial Code Reduced Space Symbology (UCC RSS)-2D bar codes,and other optical codes), acoustic detection components (e.g.,microphones to identify tagged audio signals), or any suitablecombination thereof. In addition, a variety of information can bederived via the communication components 1064, such as location viaInternet Protocol (IP) geo-location, location via WI-FI® signaltriangulation, location via detecting a BLUETOOTH® or NFC beacon signalthat may indicate a particular location, and so forth.

Transmission Medium

In various example embodiments, one or more portions of the network 1080can be an ad hoc network, an intranet, an extranet, a virtual privatenetwork (VPN), a local area network (LAN), a wireless LAN (WLAN), a widearea network (WAN), a wireless WAN (WWAN), a metropolitan area network(MAN), the Internet, a portion of the Internet, a portion of the publicswitched telephone network (PSTN), a plain old telephone service (POTS)network, a cellular telephone network, a wireless network, a WI-FI®network, another type of network, or a combination of two or more suchnetworks. For example, the network 1080 or a portion of the network 1080may include a wireless or cellular network, and the coupling 1082 may bea Code Division Multiple Access (CDMA) connection, a Global System forMobile communications (GSM) connection, or another type of cellular orwireless coupling. In this example, the coupling 1082 can implement anyof a variety of types of data transfer technology, such as SingleCarrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized(EVDO) technology, General Packet Radio Service (GPRS) technology,Enhanced Data rates for GSM Evolution (EDGE) technology, thirdGeneration Partnership Project (3GPP) including 3G, fourth generationwireless (4G) networks, Universal Mobile Telecommunications System(UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability forMicrowave Access (WiMAX), Long Term Evolution (LTE) standard, othersdefined by various standard-setting organizations, other long rangeprotocols, or other data transfer technology.

In example embodiments, the instructions 1016 are transmitted orreceived over the network 1080 using a transmission medium via a networkinterface device (e.g., a network interface component included in thecommunication components 1064) and utilizing any one of a number ofwell-known transfer protocols (e.g., Hypertext Transfer Protocol(HTTP)). Similarly, in other example embodiments, the instructions 1016are transmitted or received using a transmission medium via the coupling1072 (e.g., a peer-to-peer coupling) to the devices 1070. The term“transmission medium” shall be taken to include any intangible mediumthat is capable of storing, encoding, or carrying the instructions 1016for execution by the machine 1000, and includes digital or analogcommunications signals or other intangible media to facilitatecommunication of such software.

Furthermore, the machine-readable medium 1038 is non-transitory (inother words, not having any transitory signals) in that it does notembody a propagating signal. However, labeling the machine-readablemedium 1038 “non-transitory” should not be construed to mean that themedium is incapable of movement; the medium 1038 should be considered asbeing transportable from one physical location to another. Additionally,since the machine-readable medium 1038 is tangible, the medium 1038 maybe considered to be a machine-readable device.

Language

Throughout this specification, plural instances may implementcomponents, operations, or structures described as a single instance.Although individual operations of one or more methods are illustratedand described as separate operations, one or more of the individualoperations may be performed concurrently, and nothing requires that theoperations be performed in the order illustrated. Structures andfunctionality presented as separate components in example configurationsmay be implemented as a combined structure or component. Similarly,structures and functionality presented as a single component may beimplemented as separate components. These and other variations,modifications, additions, and improvements fall within the scope of thesubject matter herein.

Although an overview of the inventive subject matter has been describedwith reference to specific example embodiments, various modificationsand changes may be made to these embodiments without departing from thebroader scope of embodiments of the present disclosure. Such embodimentsof the inventive subject matter may be referred to herein, individuallyor collectively, by the term “invention” merely for convenience andwithout intending to voluntarily limit the scope of this application toany single disclosure or inventive concept if more than one is, in fact,disclosed.

The embodiments illustrated herein are described in sufficient detail toenable those skilled in the art to practice the teachings disclosed.Other embodiments may be used and derived therefrom, such thatstructural and logical substitutions and changes may be made withoutdeparting from the scope of this disclosure. The Detailed Description,therefore, is not to be taken in a limiting sense, and the scope ofvarious embodiments is defined only by the appended claims, along withthe full range of equivalents to which such claims are entitled.

As used herein, the term “or” may be construed in either an inclusive orexclusive sense. Moreover, plural instances may be provided forresources, operations, or structures described herein as a singleinstance. Additionally, boundaries between various resources,operations, modules, engines, and data stores are somewhat arbitrary,and particular operations are illustrated in a context of specificillustrative configurations. Other allocations of functionality areenvisioned and may fall within a scope of various embodiments of thepresent disclosure. In general, structures and functionality presentedas separate resources in the example configurations may be implementedas a combined structure or resource. Similarly, structures andfunctionality presented as a single resource may be implemented asseparate resources. These and other variations, modifications,additions, and improvements fall within a scope of embodiments of thepresent disclosure as represented by the appended claims. Thespecification and drawings are, accordingly, to be regarded in anillustrative rather than a restrictive sense.

What is claimed is:
 1. A method for network communication of image basedcontent collections, the method comprising: storing, at a database of aserver computer system, a plurality of content messages from a pluralityof client devices, wherein a corresponding piece of content from eachcontent message is associated with a display time less than a thresholddisplay time; generating, by the server computer system, a firstplurality of content collections from the plurality of content messages,each content collection of the first plurality of content collectionscomprising associated content from one or more content messages of theplurality of content messages; communicating, from the server computersystem to a first mobile device, interface information for each contentcollection of the first plurality of content collections; receiving,from the first mobile device, a first story request associated with afirst selection, at the first mobile device, of a first contentcollection of the first plurality of content collections; receiving,from the first mobile device, an autoforward communication associatedwith completion of a presentation of the first content collection at thefirst mobile device; and automatically communicating a second contentcollection from the server computer system to the first mobile devicefor automatic display on the first mobile device in response to receiptof the first story request and the autoforward communication, whereinthe second content collection is selected automatically by the servercomputer system, and wherein each respective piece of content is sortedfor presentation based on an individual quality score and a weightingbased on at least one of content, location, or time associated with therespective piece of content, and wherein each individual quality scoreis based on a set of quality metrics applied to the respective piece ofcontent.
 2. The method of claim 1, wherein the first plurality ofcontent collections comprises content collections from a plurality offriend accounts associated with the first mobile device.
 3. The methodof claim 2, further comprising receiving, from the first mobile device,a live autoforward communication associated with completion of an endpresentation of a final first content collection of the plurality ofcontent collections at the first mobile device; and automaticallycommunicating a first live content collection from the server computersystem to the first mobile device for automatic display on the firstmobile device in response to receipt of the live autoforwardcommunication.
 4. The method of claim 3, further comprisingcommunicating one or more advertising elements for presentation on thefirst mobile device prior to automatic display of the second contentcollection.
 5. The method of claim 3, further comprising communicatingone or more advertising elements for presentation on the first mobiledevice following presentation of a trigger content collection of thefirst plurality of content collections or the first live contentcollection, wherein the trigger content collection is selected fromcontent collections of the first plurality of content collections or thefirst live content collection based on an advertising threshold.
 6. Themethod of claim 3, further comprising: receiving, at the server computersystem, a second plurality of content messages; receiving, at the servercomputer system via a curation tool, selection of live media contentfrom the second plurality of content messages for the live contentcollection; and periodically updating live media content of the livecontent collection using the curation tool.
 7. The method of claim 3,wherein the first plurality of content collections comprises a thirdlive content collection; wherein the interface information furthercomprises one or more frames of image data from each piece of content ofthe third live content collection, wherein each of the one or moreframes of image data from each piece of content of the third livecontent collection are selected using a curation tool.
 8. The method ofclaim 1, wherein the first content collection comprises a first set ofcontent from a first set of content messages of the plurality of contentmessages, wherein the first set of content messages are received from asecond mobile device associated with a second user account of the servercomputer system; wherein the first user device is associated with afirst user account of the server computer system; and wherein the firstuser device and the second user device are associated with the servercomputer system.
 9. The method of claim 8, wherein the first set ofcontent messages comprises all content messages received at the servercomputer system from the second mobile device within a story thresholdtime prior to receipt of the first story request at the server computersystem.
 10. The method of claim 9, wherein the story threshold time is24 hours.
 11. The method of claim 8, wherein the first contentcollection is selected by the server computer system for the firstplurality of content collections based on the association between thefirst user account and the second user account.
 12. The method of claim1 further comprising: receiving, at the first mobile device from theserver computer system, the interface information for the firstplurality of content collections; receiving, by the first mobile device,a user input initiating a story request associated with selection of thefirst content collection of the first plurality of content collections;receiving, by the first mobile device from the server computer system, afirst set of ordered pieces of content associated with the first contentcollection, each piece of content of the set of ordered pieces ofcontent having an associated display time less than a threshold displaytime.
 13. The method of claim 12 further comprising: displaying, by thefirst mobile device, at least a portion of the first set of orderedpieces of content; identifying, by the first mobile device, a story endtrigger associated with display of a final piece of content of the firstset of ordered pieces of content; and in response to identification ofthe story end trigger, automatically initiating display of a second setof ordered pieces of content associated with the second contentcollection of the first plurality of content collections.
 14. The methodof claim 1, wherein the interface information comprises at least oneframe of image data from each piece of content of each contentcollection of the first plurality of content collections.
 15. The methodof claim 1, wherein the threshold display time comprises a time valueless than or equal to ten seconds.
 16. A method for communication andpresentation of image based content collections at a first mobiledevice, the method comprising: receiving, from a server computer system,interface information for a first plurality of content collections, theinterface information comprising a plurality of content imagesassociated with each content collection of the first plurality ofcontent collections; receiving, by the first mobile device, a user inputinitiating a story request associated with selection of a first contentcollection of the first plurality of content collections; receiving,from the server computer system, a first set of ordered pieces ofcontent associated with the first content collection, each piece ofcontent of the first set of ordered pieces of content having anassociated display time less than a threshold display time, and whereineach piece of content is ordered for presentation based on an individualquality score and a weighting based on at least one of content,location, or time associated with the respective piece of content, andwherein each individual quality score is based on a set of qualitymetrics applied to the respective piece of content; displaying, by thefirst mobile device, at least a portion of the first set of orderedpieces of content; identifying, by the first mobile device, a story endtrigger associated with display of a final piece of content of the firstset of ordered pieces of content; and in response to identification ofthe story end trigger, automatically initiating display of a second setof ordered pieces of content associated with a second content collectionof the first plurality of content collections.
 17. The method of claim16, further comprising: automatically presenting each content collectionof the plurality of content collections in a sequential order, whereinthe sequential order is based on a time associated with a most recentlyreceived content message for each content collection of the plurality ofcontent collections.
 18. The method of claim 17, further comprising:receiving, at the first mobile device, a first tap input to atouchscreen of the first mobile device; in response to the first tapinput, shifting to a previous piece of media content of a currentlydisplayed content collection; receiving, at the first mobile device, afirst swipe input to the touchscreen of the first mobile device; and inresponse to the first swipe input, shifting to display of a previouscontent collection and continuing a sequential display from a beginningof the previous content collection.
 19. The method of claim 17, furthercomprising: displaying, following an end of each content collection ofthe plurality of content collections, a standardized media displayindicating an end of the content collection before automaticallydisplaying a next content collection in the sequential order; anddisplaying, following at least a portion of the plurality of contentcollections prior to a beginning of the next content collection, one ormore advertising elements.
 20. A non-transitory computer readable mediumcomprising instructions that, when executed by one or more processors ofa first mobile device, cause the first mobile device to perform a methodfor autoforwarding during display of a plurality of content collectionson the first mobile device, the method comprising: receiving, from aserver computer system, interface information for a first plurality ofcontent collections, the interface information comprising a plurality ofcontent images associated with each content collection of the firstplurality of content collections; receiving, by the first mobile device,a user input initiating a story request associated with selection of afirst content collection of the first plurality of content collections;receiving, from the server computer system, a first set of orderedpieces of content associated with the first content collection, eachpiece of content of the set of ordered pieces of content having anassociated display time less than a threshold display time; displaying,by the first mobile device, at least a portion of the first set ofordered pieces of content identifying, by the first mobile device, astory end trigger associated with display of the first set of orderedpieces of content; communicating, to the server computer system, anautoforward communication associated with the story end trigger; and inresponse to identification of the story end trigger, automaticallyinitiating display of a second set of ordered pieces of contentassociated with a second content collection of the first plurality ofcontent collections, wherein each respective piece of content is sortedfor presentation based on an individual quality score and a weightingbased on at least one of content, location, or time associated with therespective piece of content, and wherein each individual quality scoreis based on a set of quality metrics applied to the respective piece ofcontent.